Shashank Mishra

Work place: KIET Group of Institutions, Uttar Pradesh, Delhi NCR, Ghaziabad, India



Research Interests: Machine Learning, Database Management System, Artificial intelligent in learning


Shashank Mishra is currently pursuing a Batchelor of Technology from the KIET group of institutions, Murad Nagar, Ghaziabad, Delhi NCR in the Information Technology stream and will be graduating in 2023. He completed his schooling in Varanasi, Uttar Pradesh, India. Mr. Mishra has a keen interest in Artificial intelligence, Machine learning, data analytics and Database management. He has worked to develop automated models with the help of ML and AI some of which are “Fake News Detection” using machine learning, and “Emojify Facial Expression” using Deep Learning And published this research works.

Author Articles
An Automated Model for Sentimental Analysis Using Long Short-Term Memory-based Deep Learning Model

By Shashank Mishra Mukul Aggarwal Shivam Yadav Yashika Sharma

DOI:, Pub. Date: 8 Oct. 2023

A post, review, or news article's emotional tone can be automatically ascertained using sentiment analysis, a natural language processing approach. Sorting the text into positive, negative, or neutral categories is the aim of sentiment analysis. Many methods, including rule-based systems and machine learning algorithms, can be used to analyse sentiment, or deep learning models. These techniques typically involve analyzing various features of the text, such as word choice, sentence structure, and context, to identify the overall sentiment. Here long short-term memory-based deep learning is applied in this research for the model development purpose. Deeply interconnected neural networks are used in this method. Sentiment analysis can be used in many different applications, such as market research, brand reputation management, customer feedback analysis, and social media monitoring. It shows the use of sentiment analysis in a variety of fields and increases the need of technology to perform it on the existing machines.

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